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	<title>Ramesh H Singh &#8211; Noise</title>
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		<title>Enforce business glossary classification rules in Amazon SageMaker Catalog</title>
		<link>https://noise.getoto.net/2025/11/20/enforce-business-glossary-classification-rules-in-amazon-sagemaker-catalog/</link>
		
		<dc:creator><![CDATA[Ramesh H Singh]]></dc:creator>
		<pubDate>Thu, 20 Nov 2025 18:39:41 +0000</pubDate>
				<category><![CDATA[Amazon SageMaker Data & AI Governance]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
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					<description><![CDATA[Amazon SageMaker Catalog now supports metadata enforcement rules for glossary terms classification (tagging) at the asset level. With this capability, administrators can require that assets include specific business terms or classifications. Data producers must apply required glossary terms or classifications before an asset can be published. In this post, we show how to enforce business glossary classification rules in SageMaker Catalog.]]></description>
		
		
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		<title>Enhanced data discovery in Amazon SageMaker Catalog with custom metadata forms and rich text documentation</title>
		<link>https://noise.getoto.net/2025/11/20/enhanced-data-discovery-in-amazon-sagemaker-catalog-with-custom-metadata-forms-and-rich-text-documentation/</link>
		
		<dc:creator><![CDATA[Ramesh H Singh]]></dc:creator>
		<pubDate>Thu, 20 Nov 2025 18:35:07 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon SageMaker Data & AI Governance]]></category>
		<category><![CDATA[announcements]]></category>
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					<description><![CDATA[Amazon SageMaker Catalog now supports custom metadata forms and rich text descriptions at the column level, extending existing curation capabilities for business names, descriptions, and glossary term classifications. Column-level context is essential for understanding and trusting data. This release helps organizations improve data discoverability, collaboration, and governance by letting metadata stewards document columns using structured and formatted information that aligns with internal standards. In this post, we show how to enhance data discovery in SageMaker Catalog with custom metadata forms and rich text documentation at the schema level.]]></description>
		
		
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		<title>Enhanced search with match highlights and explanations in Amazon SageMaker</title>
		<link>https://noise.getoto.net/2025/11/05/enhanced-search-with-match-highlights-and-explanations-in-amazon-sagemaker/</link>
		
		<dc:creator><![CDATA[Ramesh H Singh]]></dc:creator>
		<pubDate>Tue, 04 Nov 2025 22:57:29 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon SageMaker Unified Studio]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[Amazon SageMaker now enhances search results in Amazon SageMaker Unified Studio with additional context that improves transparency and interpretability. The capability introduces inline highlighting for matched terms and an explanation panel that details where and how each match occurred across metadata fields such as name, description, glossary, and schema. In this post, we demonstrate how to use enhanced search in Amazon SageMaker.]]></description>
		
		
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		<title>Introducing restricted classification terms for governed classification in Amazon SageMaker Catalog</title>
		<link>https://noise.getoto.net/2025/09/08/introducing-restricted-classification-terms-for-governed-classification-in-amazon-sagemaker-catalog/</link>
		
		<dc:creator><![CDATA[Ramesh H Singh]]></dc:creator>
		<pubDate>Mon, 08 Sep 2025 20:36:39 +0000</pubDate>
				<category><![CDATA[Amazon SageMaker Data & AI Governance]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
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					<description><![CDATA[Security and compliance concerns are key considerations when customers across industries rely on Amazon SageMaker Catalog. Customers use SageMaker Catalog to organize, discover, and govern data and machine learning (ML) assets. A common request from domain administrators is the ability to enforce governance controls on certain metadata terms that carry compliance or policy significance. Examples […]]]></description>
		
		
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		<title>Use account-agnostic, reusable project profiles in Amazon SageMaker to streamline governance</title>
		<link>https://noise.getoto.net/2025/09/03/use-account-agnostic-reusable-project-profiles-in-amazon-sagemaker-to-streamline-governance/</link>
		
		<dc:creator><![CDATA[Ramesh H Singh]]></dc:creator>
		<pubDate>Tue, 02 Sep 2025 23:08:18 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon SageMaker Unified Studio]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[Amazon SageMaker now supports account-agnostic project profiles, so you can create reusable project templates across multiple AWS accounts and organizational units. In this post, we demonstrate how account-agnostic project profiles can help you simplify and streamline the management of SageMaker project creation while maintaining security and governance features. We walk through the technical steps to configure account-agnostic, reusable project profiles, helping you maximize the flexibility of your SageMaker deployments.]]></description>
		
		
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		<title>Introducing GenAI-powered business description recommendations for custom assets in Amazon SageMaker Catalog</title>
		<link>https://noise.getoto.net/2025/07/02/introducing-genai-powered-business-description-recommendations-for-custom-assets-in-amazon-sagemaker-catalog/</link>
		
		<dc:creator><![CDATA[Ramesh H Singh]]></dc:creator>
		<pubDate>Tue, 01 Jul 2025 22:24:43 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[announcements]]></category>
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					<description><![CDATA[Amazon SageMaker Catalog now supports generative AI-powered recommendations for business descriptions, including table summaries, use cases, and column-level descriptions for custom structured assets registered programmatically. In this post, we demonstrate how to generate AI recommendations for business descriptions for custom structured assets in SageMaker Catalog.]]></description>
		
		
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		<title>Streamline data discovery with precise technical identifier search in Amazon SageMaker Unified Studio</title>
		<link>https://noise.getoto.net/2025/04/10/streamline-data-discovery-with-precise-technical-identifier-search-in-amazon-sagemaker-unified-studio/</link>
		
		<dc:creator><![CDATA[Ramesh H Singh]]></dc:creator>
		<pubDate>Wed, 09 Apr 2025 22:14:47 +0000</pubDate>
				<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon SageMaker Unified Studio]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[announcements]]></category>
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					<description><![CDATA[We’re excited to introduce a new enhancement to the search experience in Amazon SageMaker Catalog, part of the next generation of Amazon SageMaker—exact match search using technical identifiers. In this post, we demonstrate how to streamline data discovery with precise technical identifier search in Amazon SageMaker Unified Studio.]]></description>
		
		
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		<title>Enhance data governance with enforced metadata rules in Amazon DataZone</title>
		<link>https://noise.getoto.net/2024/11/20/enhance-data-governance-with-enforced-metadata-rules-in-amazon-datazone/</link>
		
		<dc:creator><![CDATA[Ramesh H Singh]]></dc:creator>
		<pubDate>Wed, 20 Nov 2024 18:55:29 +0000</pubDate>
				<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[announcements]]></category>
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					<description><![CDATA[We’re excited to announce a new feature in Amazon DataZone that offers enhanced metadata governance for your subscription approval process. Using this update, domain owners can define metadata requirements and enforce them on data consumers when they request subscriptions to data assets. By making it mandatory for data consumers to provide specific metadata, domain owners can achieve compliance, meet organizational standards, and support audit and reporting needs.]]></description>
		
		
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		<title>Streamline AI-driven analytics with governance: Integrating Tableau with Amazon DataZone</title>
		<link>https://noise.getoto.net/2024/10/30/streamline-ai-driven-analytics-with-governance-integrating-tableau-with-amazon-datazone/</link>
		
		<dc:creator><![CDATA[Ramesh H Singh]]></dc:creator>
		<pubDate>Wed, 30 Oct 2024 20:57:26 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[announcements]]></category>
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					<description><![CDATA[Amazon DataZone recently announced the expansion of data analysis and visualization options for your project-subscribed data within Amazon DataZone using the Amazon Athena JDBC driver. In this post, you learn how the recent enhancements in Amazon DataZone facilitate a seamless connection with Tableau. By integrating Tableau with the comprehensive data governance capabilities of Amazon DataZone, we're empowering data consumers to quickly and seamlessly explore and analyze their governed data.]]></description>
		
		
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		<item>
		<title>Expanding data analysis and visualization options: Amazon DataZone now integrates with Tableau, Power BI, and more</title>
		<link>https://noise.getoto.net/2024/10/30/expanding-data-analysis-and-visualization-options-amazon-datazone-now-integrates-with-tableau-power-bi-and-more/</link>
		
		<dc:creator><![CDATA[Ramesh H Singh]]></dc:creator>
		<pubDate>Wed, 30 Oct 2024 20:57:06 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[launch]]></category>
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					<description><![CDATA[Amazon DataZone now launched authentication support through the  Amazon Athena JDBC driver, allowing data users to seamlessly query their subscribed data lake assets via popular business intelligence (BI) and analytics tools like Tableau, Power BI, Excel, SQL Workbench, DBeaver, and more. This integration empowers data users to access and analyze governed data within Amazon DataZone using familiar tools, boosting both productivity and flexibility.]]></description>
		
		
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